Lucia Guastadisegni; Irini Moustaki; Silvia Cagnone; Vassilis Vasdekis, A statistical test to assess the non - normality of the latent variable
distribution, in: BOOK OF ABSTRACTS AND SHORT PAPERS 14th Scientific Meeting of the Classification and Data Analysis Group Salerno, September 11-13, 2023, Pearson, 2023, pp. 511 - 514 (atti di: CLADAG 2023, Salerno, September 11-13, 2023) [Contribution to conference proceedings]
Reiser M., Cagnone S., Zhu J., An Extended GFfit Statistic Defined on Orthogonal Components of Pearson's Chi-Square, «PSYCHOMETRIKA», 2023, 88, pp. 208 - 240 [Scientific article]
Lucia Guastadisegni; Irini Moustaki; Vassilis Vasdekis; Silvia Cagnone, Detecting Latent Variable Non-normality Through the Generalized Hausman Test, in: Marie Wiberg; Dylan Molenaar; Jorge González; Jee-Seon Kim;Heungsun Hwang, Quantitative Psychology: The 87th Annual Meeting of the Psychometric Society, Bologna, Italy, 2022, XXX, Springer Proceedings in Mathematics & Statistics, 2023, pp. 107 - 118 [Chapter or essay]
SIlvia Bianconcini; Silvia Cagnone, Estimation issues in multivariate panel data, in: BOOK OF ABSTRACTS AND SHORT PAPERS 14th Scientific Meeting of the Classification and Data Analysis Group Salerno, September 11-13, 2023, Pearson, 2023, pp. 74 - 77 (atti di: CLADAG 2023, Salerno, September 11-13, 2023) [Contribution to conference proceedings]
Mark Reiser; Silvia Cagnone, Step-Wise Goodness-of-Fit Testing for High-Dimensional Cross-Classified Tables, in: JSM Proceedings 2023, 2023, pp. 1 - 17 (atti di: Joint Statistical Meetings 2023 (JSM2023), Toronto, 5-10 August 2023) [Contribution to conference proceedings]
Silvia Bianconcini; Silvia Cagnone, The dimension-wise quadrature estimation of dynamic latent variable models for count data, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2023, 177, pp. 1 - 7 [Scientific article]
Lucia Guastadisegni; Silvia Cagnone; Irini Moustaki; Vassilis Vasdekis, Use of the Lagrange Multiplier Test for Assessing Measurement Invariance Under Model Misspecification, «EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT», 2022, 82, pp. 254 - 280 [Scientific article]Open Access
Bianconcini S.; Cagnone S., Comparison Between Different Estimation Methods of Factor Models for Longitudinal Ordinal Data, in: Wiberg M; Molenaar D.; González J.; Böckenholt U.; Kim J.S., Quantitative Psychology, xxx, Springer Proceedings in Mathematics & Statistics, 2021, pp. 9 - 21 [Chapter or essay]
Silvia Bianconcini; Silvia Cagnone, Comparison between Different Likelihood BasedEstimation Methods in Latent Variable Models for Categorical Data, in: Perna C., Salvati N., Schirripa Spagnolo N., Book of Short Papers SIS 2021, Pearson, 2021, pp. 151 - 156 (atti di: Sis 2021, On-line, 21-25 giugno 2021) [Contribution to conference proceedings]
Bianconcini S.; Cagnone S., Dynamic latent variable models for the analysis of cognitive abilities in the elderly population, «STATISTICS IN MEDICINE», 2021, 40, pp. 4410 - 4429 [Scientific article]Open Access
Guastadisegni L.; Cagnone S.; Moustaki I.; Vadeskis I, The Asymptotic Power of the Lagrange Multiplier Tests for Misspecified IRT Models, in: Wiberg M.; Molenaar D.; González J.; Böckenholt U.; Kim J.S., Quantitative Psychology, xxx, Springer Proceedings in Mathematics & Statistics, 2021, pp. 275 - 284 (SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS) [Chapter or essay]
S. Bianconcini; S. Cagnone, Approximate inference in latent variable models based on dimension-wise quadrature, in: PROGRAMME AND ABSTRACTS of the 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), 2018, pp. 199 - 199 (atti di: 11th International Conference of theERCIM Working Group on Computational and Methodological Statistics (CMStatistics 2018), Pisa, 14-16 Dicembre 2018) [Abstract]
Cagnone S; Viroli C, Multivariate Latent Variable Transition Models of Longitudinal Mixed Data: an Analysis on Alcohol Use Disorder, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS», 2018, 67, pp. 1399 - 1418 [Scientific article]
Silvia Cagnone; Cinzia Viroli, The analysis of longitudinal mixed data via multivariate latent variable models: An analysis on alcohol use disor, in: PROGRAMME AND ABSTRACTS of the 11th International Conference of the ERCIM Working Group on Computational and Methodological Statistics (CMStatistics 2018), 2018, pp. 199 - 199 (atti di: 11th International Conference of the ERCIM Working Group on Computational and Methodological Statistics (CMStatistics 2018), Pisa, 14-16 Dicembre 2018) [Abstract]
Cagnone, Silvia; Bartolucci Francesco, Adaptive quadrature for maximum likelihood estimation of a class of dynamic latent variable models, «COMPUTATIONAL ECONOMICS», 2017, 49, pp. 599 - 622 [Scientific article]Open Access
